where \(f_\phi \)  is the CNN encoder of ProtoNet in the inner task, and \(p_i\)  is the feature map of \(x_i^s\) . Then we employ Class Activation Map (CAM) [1]} to highlight the discriminative regions, which is represented as:
\(h_i = CAM(p_i),\) 
